Industries / Financials

Financial Infrastructure & Exchanges

Financial Services · Financial Exchanges & Data · Clearing & Settlement · Market Infrastructure · Financial Data Services

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Financial Infrastructure & Exchanges carries continuous transaction volume, settlement obligations measured in hours and regulatory scrutiny of every message, price and record it holds. Across various engagements in multiple geographies, iFortis Worldwide has engineered intelligence into Exchange Surveillance Intelligence, Settlement Risk Intelligence, Exchange Operations Copilot, Reference Data Automation, Clearing Margin Optimization, Trading Infrastructure Intelligence, Market Data Product Intelligence, Trade Confirmation Automation, Secure Market Operations Workforce and Matching Engine Optimization, always above deterministic matching, clearing and settlement control.

Key impacts

  • Exchange Surveillance Intelligence. Surveillance teams worked through high volumes of threshold alerts with little supporting context.
  • Settlement Risk Intelligence. Settlement failures were investigated after the fact across separate lifecycle systems.
  • Exchange Operations Copilot. Trading day incidents were diagnosed from scattered telemetry and undocumented operator knowledge.
  • Reference Data Automation. Instrument and corporate action records were reconciled by hand across competing vendor feeds.
A row of server racks lit in blue and red inside a data hall
Sector
Financials
Industry group
Financial Services
Sub-industries
Financial Exchanges & Data, Clearing & Settlement, Market Infrastructure, Financial Data Services

Our Experience & Impact.

Engineered with intelligence. Measured by outcomes.

0+
Years On The Bench

Senior engineers who have run production systems before, not learned on yours.

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Programmes In Production

Transformation programmes taken past pilot and into daily operation.

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Specialists Under One Standard

One delivery standard, whoever is on the engagement.

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Solutions Running Live

Built, deployed and still operated by us after handover.

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Systems Connected

Core platforms and data estates joined into one governed architecture.

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Governed Agents In Service

Each with an identity, a permission set and a human who owns it.

0K+
Hours Codified Into Assets

Work turned into assets the next engagement starts from.

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Markets Under Delivery

Delivery, data residency and support where the business actually operates.

24×7
Continuous Operations

Engineering and managed operations that follow the working day around.

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SDGs Mapped To Delivery

Every engagement mapped against the Sustainable Development Goals.

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iFortis Worldwide® AI Native Enterprise Framework

From Enterprise Vision to Autonomous Operations.

STAGE 01Envision01020304050607080910

Stage 01 · Envision

Define business ambition and transformation outcomes.

Establish enterprise strategy, AI vision, value cases, governance objectives, and success metrics aligned with business priorities.

Outputs

  • Enterprise Vision
  • AI Strategy
  • Business Case
  • Transformation Roadmap

Trending solutions

The AI Native solutions engineered for Financial Infrastructure & Exchanges, each with its recorded outcome and the full story to read

Exchange Surveillance Intelligence

Financial Exchanges & Data

Sequence models connected order flow, participant history and news signals to rank potential market abuse.

46% fewer false surveillance alerts

Settlement Risk Intelligence

Clearing & Settlement

AI agents connected trade lifecycle events, counterparty exposure and custody records to predict settlement failure.

33% fewer settlement fails

Exchange Operations Copilot

Market Infrastructure

Reasoning agents connected platform telemetry, incident history and runbooks to guide trading day operations.

51% faster incident resolution

Reference Data Automation

Financial Data Services

Governed digital workers matched instrument identifiers, corporate actions and vendor feeds into one reference record.

62% less manual data remediation

Clearing Margin Optimization

Financial Exchanges & Data

Simulation and machine learning connected exposure, collateral and stress scenarios to size margin more precisely.

24% lower collateral requirement

Trading Infrastructure Intelligence

Clearing & Settlement

AI capacity models connected latency telemetry, message volumes and release history to forecast platform pressure.

29% fewer capacity incidents

Market Data Product Intelligence

Market Infrastructure

Usage models connected client entitlements, query patterns and billing records to shape data product design.

3.4x faster product usage analysis

Trade Confirmation Automation

Financial Data Services

Digital workers handled allocation, confirmation and break investigation across counterparties and custodians.

55% fewer manual post trade touches

Secure Market Operations Workforce

Financial Exchanges & Data

Governed digital workers prepared regulatory filings, audit evidence and operational reporting inside segregated controls.

41% reduction in operations workload

Matching Engine Optimization

Clearing & Settlement

Reinforcement learning tuned routing, queueing and capacity allocation across matching and clearing infrastructure.

18% lower peak latency

Engineering technology stacks used

Everything engineered across the Financial Infrastructure & Exchanges engagements, summarised by layer of the enterprise stack

AI and machine learning16

  • Anomaly detection
  • Sequence models
  • Graph analytics
  • Reinforcement learning
  • Multi-agent orchestration
  • Agent frameworks
  • LLMs
  • Fine-tuned SLMs
  • Retrieval augmented generation
  • Time series forecasting
  • Gradient boosting
  • Bayesian models
  • Simulation
  • Entity resolution
  • Edge inference
  • Vector search

Data13

  • kdb+
  • Kafka
  • Flink
  • Spark Streaming
  • Delta Lake
  • Apache Iceberg
  • Snowflake
  • TimescaleDB
  • InfluxDB
  • Airflow
  • dbt
  • Vector database
  • Graph database

Databases10

  • PostgreSQL
  • ClickHouse
  • Cassandra
  • Redis
  • MongoDB
  • Oracle
  • DynamoDB
  • Neo4j
  • pgvector
  • Elasticsearch

Backend8

  • C++
  • Rust
  • Java
  • Go
  • Scala
  • Python
  • .NET
  • Node.js

Frontend5

  • React
  • Angular
  • Next.js
  • TypeScript
  • Svelte

Cloud6

  • AWS
  • Azure
  • Hybrid cloud
  • Kubernetes
  • OpenShift
  • Private cloud

Integration8

  • FIX protocol
  • ISO 20022 messaging
  • gRPC
  • REST
  • Event driven
  • Message queues
  • API gateway
  • Multicast market data

DevOps12

  • Terraform
  • Argo
  • ArgoCD
  • Jenkins
  • GitLab CI
  • Docker
  • Helm
  • Prometheus
  • Grafana
  • OpenTelemetry
  • ELK
  • Datadog

Analytics4

  • Superset
  • Power BI
  • Tableau
  • Looker

Security8

  • mTLS
  • HSM key management
  • Zero Trust
  • SIEM
  • IAM
  • SSO
  • Audit logging
  • Vault

Explore the full stack

Case studies across the sector

Learn how AI Native Technology is applied across the Financials sector, one engagement from each industry

Financial Infrastructure & Exchanges

Exchange Surveillance Intelligence

46%fewer false surveillance alerts

faster alert investigation
38%
higher detection coverage
23%

Systems integrated

Anomaly detection · Multi-agent orchestration · Reinforcement learning · Graph analytics · Kafka · Flink · ClickHouse · TimescaleDB · PostgreSQL · Cassandra · Rust · Java · Go · React · Hybrid cloud · Kubernetes · FIX protocol · ISO 20022 messaging · gRPC · Event driven · Terraform · Argo · Grafana · Superset · mTLS · Vault · Zero Trust · Audit logging

Banking

Regulatory Reporting Automation

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

Gradient boosting · Fine-tuned SLMs · Retrieval augmented generation · Anomaly detection · Snowflake · Delta Lake · Kafka · PostgreSQL · Oracle · Cassandra · Java · Scala · Go · React · Next.js · Azure · Kubernetes · REST · gRPC · Event driven · Terraform · Jenkins · Power BI · mTLS · SSO · Zero Trust · Audit logging · HSM key management

Capital Markets

Liquidity Risk Intelligence

31%better intraday liquidity forecasting

lower funding buffer
17%

Systems integrated

Time series forecasting · LLMs · Anomaly detection · Multi-agent orchestration · ClickHouse · Kafka · Delta Lake · PostgreSQL · DynamoDB · C++ · Java · Python · Angular · AWS · Kubernetes · Hybrid cloud · gRPC · REST · Event driven · ArgoCD · Prometheus · Grafana · mTLS · SSO · SIEM · Audit logging

Insurance

Underwriting Copilot

35%faster underwriting turnaround

higher quote accuracy
23%

Systems integrated

Gradient boosting · Computer vision · OCR and document AI · Generative AI · Snowflake · Databricks · Delta Lake · PostgreSQL · MongoDB · ClickHouse · Java · Python · Vue · Next.js · Azure · AWS · REST · GraphQL · EDI · Helm · GitHub Actions · Datadog · Looker · SSO · IAM · Zero Trust

Payments & FinTech

Reconciliation Automation

48%less manual reconciliation

faster settlement close
26%

Systems integrated

Graph neural networks · Anomaly detection · Streaming feature stores · Fine-tuned SLMs · Flink · ClickHouse · Redis · PostgreSQL · DynamoDB · Cassandra · Rust · Java · Node.js · Next.js · AWS · Google Cloud · gRPC · REST · ISO 20022 messaging · Event driven · Terraform · ArgoCD · OpenTelemetry · Superset · mTLS · Zero Trust · HSM key management · SIEM

Wealth & Asset Management

Client Reporting Intelligence

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

Retrieval augmented generation · Agent frameworks · Portfolio optimization models · Time series forecasting · Delta Lake · pgvector · Weaviate · MongoDB · ClickHouse · .NET · Scala · Angular · Vue · Azure · AWS · Kubernetes · GraphQL · gRPC · Event driven · GitHub Actions · Datadog · Tableau · SSO · OAuth2 · Audit logging

Private Equity & Venture Capital

Diligence Automation

39%faster diligence cycle

more opportunities screened
58%

Systems integrated

Retrieval augmented generation · Fine-tuned SLMs · Embedding models · Graph analytics · Snowflake · Delta Lake · pgvector · Neo4j · PostgreSQL · MongoDB · Python · Go · .NET · Next.js · React · Azure · Kubernetes · REST · GraphQL · Event driven · Terraform · GitHub Actions · Metabase · Power BI · SSO · Vault · Audit logging · Zero Trust

Trusted by the world’s leading enterprises.

Clients include: Allianz · Bank of America · Caterpillar · CHANEL · Citi · Dell · FedEx · Huawei · Hyundai · John Deere · Kellogg’s · Nissan · NIVEA · Philips · UNIQLO · Adobe · HSBC · L’Oreal · Nike · Siemens · Starbucks · Verizon · Walmart.

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